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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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828
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2000
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Papers (including subtopics)

RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs NAACL 2024 RedEx: Beyond Fixed Representation Methods via Convex Optimization ALT 2024 R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning ICLR 2024 RedPajama: an Open Dataset for Training Large Language Models NeurIPS 2024 Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation ICML 2024 Reducing Speech Distortion and Artifacts for Speech Enhancement by Loss Function Interspeech 2024 Reducing Transformer Key-Value Cache Size with Cross-Layer Attention NeurIPS 2024 ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution NeurIPS 2024 Reference-free Hallucination Detection for Large Vision-Language Models EMNLP 2024 Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints ICML 2024 Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract) COLT 2024 Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction ACL 2024 Refining Minimax Regret for Unsupervised Environment Design ICML 2024 ReFT: Reasoning with Reinforced Fine-Tuning ACL 2024 ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion ICLR 2024 REGLO: Provable Neural Network Repair for Global Robustness Properties AAAI 2024 Regression Aware Inference with LLMs EMNLP 2024 Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes AAAI 2024 Regret Analysis of Repeated Delegated Choice AAAI 2024 Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures AISTATS 2024 Regret Minimization in Stackelberg Games with Side Information NeurIPS 2024 Regularization and Optimal Multiclass Learning COLT 2024 Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network NeurIPS 2024 Regularized Q-Learning NeurIPS 2024 REINDIR: Repeated Embedding Infusion for Neural Deformable Image Registration MIDL 2024